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- W647328368 abstract "By continuously monitoring traffic intersections to automatically detect that a collision or near-collision has occurred, automatically call for assistance, and automatically forewarn oncoming traffic, the Oklahoma Collision Analysis and Response System.(OKCARS) has the capability to effectively reduce emergency response time, and in turn potentially save thousands of lives and millions of dollars each year. The authors have designed and developed an affordable hardware platform consisting of four smart audio visual (SAV) nodes and a cellular modem. For networking of multiple nodes, they have also developed a software platform. To meet the critical and challenging system requirements, they have developed a near realtime vehicle detection and tracking algorithm requiring modest computing power. As an alternative and complement detection system, they have developed modules for efficient collision sound recognition and localization. The authors have shown that fusion of data from multiple microphone arrays and/or fusion of results from audio-video subsystems can significantly improve detection accuracy. They have developed a small-scale testbed for validating and verifying OKCARS and associated algorithms. OKCARS is non-intrusive, does not require specialized in-car equipment, operates using existing 3G communication technologies, and is relatively low-cost. It is a significant improvement from traffic monitoring systems currently available, where a human analyst has to make decisions by constantly monitoring several video stream inputs. Through improvement of service monitoring and emergency response preparedness, OKCARS has the potential to enhance roadway traffic safety and security." @default.
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- W647328368 date "2012-10-31" @default.
- W647328368 modified "2023-09-25" @default.
- W647328368 title "OKCARS : Oklahoma Collision Analysis and Response System." @default.
- W647328368 hasPublicationYear "2012" @default.
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